Número: 149
Autor(es): Paulo Matos and Pedro Neves
Mês: Abril
Ano: 2020

Quaternary activities have been on the rise, as a consequence of the increasing technological developments and work automation, as they are expected to have an impact on both the future of the job market and the overall economy. As such, and considering that Total Factor Productivity (TFP) constitutes a main driver of output growth, we propose to study its determinants for the quaternary sector. First, we establish several criteria to build our own definition of quaternary activities, as they are not acknowledged in national accounts or other statistics. For such purpose, our empirical assessment is based on a firm level panel dataset, comprising Portuguese firms, between 2006 and 2017. Secondly, we employ the Levinsohn and Petrin (2003)’s methodology to estimate TFP at the firm level. Finally, through a second stage estimation, we build a fixed effects model based on several determinants said to impact firms' TFP, and establish a comparison with the remainder sectors of economic activity. Both descriptive statistics of the database and the final regression outputs provide evidence that quaternary activities differ from the remainder in several characteristics. Our results show that innovation, wage premium and international openness rise the level of TFP, while indebtedness presents an opposite correlation. The age and size of the firm show a non linear relationship with TFP.

 

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Número: 148
Autor(es): Ana Rodrigues Bidarra
Mês: Abril
Ano: 2020

A economia digital revolucionou a estrutura tradicional e o funcionamento dos mercados. Os dados pessoais são considerados o “novo petróleo” da actividade económica, um recurso fundamental cuja recolha e análise em larga escala são potenciadas pelo desenvolvimento das TIC. A simbiose entre Big Data e Big Analytics pode promover um ambiente concorrencial benéfico, para empresas e consumidores, mas à medida que se expandem as fronteiras da inovação e da ciência surgem preocupações que colocam em causa esta nova dinâmica de mercado. Pugnamos que, na circunstância em que as empresas concorrem nos mercados digitais orientados por dados e os consumidores, enquanto titulares de dados pessoais, são negativamente afectados, designadamente pelo decréscimo da qualidade do tratamento dos dados pessoais, há lugar à intersecção entre o direito da concorrência e o direito da protecção de dados que justifica uma intervenção coordenada com vista à análise holística das questões suscitadas. As plataformas digitais multilaterais com modelos de negócio assentes na monetização de Big Data através da publicidade apresentam um desafio aos instrumentos de concorrência tradicionais, baseados no preço, que se encontram desadequados para proceder a uma apreciação cabal destes mercados. Através da análise da decisão da CE na operação de concentração Facebook/WhatsApp demonstramos a necessidade de melhor compreensão do funcionamento das plataformas multilaterais e a premência na adequação das ferramentas de análise jusconcorrenciais à apreciação das concentrações motivadas por dados num contexto digital.

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Número: 147
Autor(es): Yassine Lefouili and Joana Pinho
Mês: Abril
Ano: 2020

This paper explores the incentives for, and the effects of, collusion in prices between two-sided platforms. We characterize the most profitable sustainable agreement when platforms collude on both sides of the market and when they collude on a single side of the market. Under two-sided collusion, prices on both sides are higher than the competitive prices, implying that agents on both sides become worse off as compared to the competitive outcome. An increase in cross-group externalities makes two-sided collusion harder to sustain, and reduces the harm from collusion suffered by the agents on a given side as long as the collusive price on that side is lower than the monopoly price. When platforms collude on a single side of the market, the price on the collusive side is lower (higher) than the competitive price if the magnitude of the cross-group externalities exerted on that side is sufficiently large (small). As a result, one-sided collusion may benefit the agents on the collusive side and harm the agents on the competitive side.

 

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Número: 146
Autor(es): Filomena Garcia and Muxin Li
Mês: Abril
Ano: 2020

In this paper we study the effects of the introduction of a new two sided platform endowed with artificial intelligence in a market where a firm provides a brick and mortar platform to buyers and sellers. In our theoretical model we show that the decision of whether to introduce the new platform depends on the reduction of the search cost for the consumers. We also show that the introduction of the platform enlarges the market with more consumers using both platforms. Finally we study the welfare effect of the introduction of the platform opening the discussion on whether certain artificial intelligence devices for shopping should be regulated.

 

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Número: 145
Autor(es): Michele Cincera, Julie Delanote, Pierre Mohnen, Anabela Santos and Christoph Weiss
Mês: Março
Ano: 2020

Companies in advanced economies are facing new challenges. Investment in intangible assets – such as R&D expenditures, ICT activities, the cost of training employees and spending on improving the organizational process – has gained relevance to overcome market pressure. In the last decade, many studies discussed the impact of intangible investment on firms’ performance. However, comparison of the effect of different types of intangible investments is less well explored. The paper aims to fill this gap by assessing the impact of several intangible investments on productivity using for the first-time data from the EIB Survey on Investment (EIBIS) covering all 28 EU members, in the period 2015-2017. We allow intangible investments to affect productivity through innovation, using an augmented version of the Crépon-Duguet-Mairesse (1998) model. Our results show that all types of intangible investments positively impact labour productivity. However, ICT and acquisition of new skills are more important for explaining productivity gains than R&D investment and organizational improvements. Furthermore, R&D and ICT investments also affect productivity indirectly through their effects on innovation, which itself increases productivity.

 

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Número: 144
Autor(es): Marcelo Duarte e Fernando Carvalho
Mês: Março
Ano: 2020

The growing awareness of the importance of national systems of innovation on countries’ development led to an increased availability of instruments designed to measure and compare the innovative capacity of countries. Such instruments provide policymakers with a panoply of relevant information, with which they can stimulate innovation within their territory, thereby increasing national competitiveness. Among the most used innovation indices, the Global Innovation Index stands out by explicitly distinguishing innovation inputs and outputs. Drawing from the Global Innovation Index input-output framework and extant literature on innovation, we intend to answer the question: Which innovation inputs are more strongly related to innovative outputs? Thus, deriving policy implications aimed at improving Portugal’s innovative readiness. Based on a conceptual model, we developed a panel dataset, grounded on the Global Innovation Index framework, composed by 92 countries during the period 2013-2018, and analysed it through a series of multiple regression techniques.

 

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Número: 143
Autor(es): Paulo Nuno Vicente, Margarida Lucas e Vânia Carlos
Mês: Março
Ano: 2020

Over the past decade, the societal impact of digital transformation, with the prospects of a Fourth Industrial revolution, has led to an innovation imperative in European policymaking regarding Higher Education Institutions (HEIs). This article examines Portuguese universities and polytechnic institutes, the two components of the national higher education system, in order to (1) characterize digital infrastructure, networks and equipment availability (hardware and software), (2) describe the self-reported digital practices among Portuguese HEIs’ faculty members, and (3) verify the alignment between faculty members’ digital practices, teaching environment and European recommendations for digital education. The study, descriptive in nature, conducts the most comprehensive online questionnaire available to date on digital innovation in Portuguese HEIs (N=547). The main constraints to digital innovation in Portuguese higher education teaching are the limited infrastructure and resources, a conservative academic culture, a lack of funding opportunities, insufficient technological resources and technical support.

 

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Número: 142
Autor(es): António Alberto Nifrário de Pinho Tavares
Mês: Março
Ano: 2020

Debureaucratization initiatives are usually welcomed due to the anticipation of its benefits. Although such was the case of Simplex, its effectiveness is yet understudied and thus this scientific article aims to make a balance of the implementation of Simplex project. This balance covers both its effectiveness on the specific case of the Portuguese Social Security System as well as its levers and blockages in the ultimate goal of debureaucratize. The scarcity of information about Simplex impact encouraged this exploratory research as well as the methodological option that backed up a qualitative approach. To meet the study’s goals, this paper also incorporated theoretical elements of the literature review. We selected two Social Security stakeholders as our target groups – accountants and officials. With the former, we conducted individual semi-structured interviews, and with the second, we made focus groups. Findings suggest Simplex is much more than deadlines and cost decrease, and improving people’s lives. It is not just information and communication technologies (ICT), administrative simplification and legislative simplification, or as we called it, the triangle of drivers legislation, technology and procedures, but it is much more. 

 

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Número: 141
Autor(es): José Santos, Nuno Tavares and Gabriel Osório de Barros
Mês: Fevereiro
Ano: 2020

Productivity growth in southern European countries has been slowing down at least since the early 2000s. In this regard, Portugal has been no exception to this common trend as productivity growth has been sluggish since the beginning of the century, well before the global financial crisis. At the same time, corporate levels of indebtedness of Portuguese firms have built-up quite substantially until recent years. Although with different levels of intensity across sectors, this pattern was particularly prevalent in the construction sector, rendering it to be a compelling case to study the relation between debt and productivity. Using microdata from Portuguese construction firms, in this paper, we investigate the long-term impact of persistent corporate debt accumulation on total factor productivity growth. To do so, we rely on the framework provided by the estimation of heterogeneous dynamic-panel models. This framework allows us to account for dynamics, feedback effects, firm heterogeneity, and cross-sectional dependencies arising from unobserved common factors. After taking into account the effect of unobserved common factors affecting all firms in the sector as well as firm’s specific characteristics, we find a negative and significant effect of corporate debt-build up on total productivity growth in the industry. This result is robust to different measures of total factor productivity, labour productivity and firms’ indebtedness. Our results suggest that timely measures aiming to reduce debt overhangs by firms may be essential tools to boost productivity growth in the construction sector.

 

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Número: 140
Autor(es): Ana Venâncio, Victor Barros and Clara Raposo
Mês: Janeiro
Ano: 2020

 

We examine the impact of corporate taxation on entrepreneurship, using a quasi-natural experiment, which substantially reduced the corporate tax rate for start-ups located in inland municipalities in Portugal. The combination of a high quality and universal firm level database for Portugal allows the detailed study of firm's behaviour. We use BPlim’s harmonized Central Balance Sheet panel for the period of 2006 to 2015 to evaluate the different behaviour of exporters and non-exporters in Portugal. We follow on the self-selection and learning-by-exporting literature, estimating several exporter productivity premiums. After finding solid evidence of a productivity advantage of exporters compared to non-exporters, which seems to emerge several years before firms start to export, we expand our study in order to explore the causality of the previous findings. Thus, we estimate a logit fixed effects model to assess the impact of several variables in the export propensity of a firm. We corroborate the self-selection theory, given the significance of labour productivity in probability of a firm exporting, as well, as significant effects of firm absolute size, relative market share, sector concentration and investment.

 

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